Build safely and pass one test

Distinguish environment differences from problems in the code

Suggested learning time: 60 minutes.

1. 1Fixed commit and environment
2. 2Small baseline test
3. 3One change
4. 4Same test and exit code

Original learning map: arrows show the reading or decision sequence, not a measured execution trace.

Prerequisite chapter

Separate three kinds of dependencies

Status of this chapter

This textbook was authored from reading sources. No actual repository builds, tests, debugging, API calls, or issue/PR posts were performed. Practical work below is an exercise to undertake; reading is not an execution result.

Learning objectives

• Distinguish environment differences from problems in the code

Preparation also executes code

Installing dependencies, running build scripts, and using test fixtures also execute code. Do not run arbitrary repositories directly on the learning site's server. Read the instructions for a fixed commit, and use a disposable environment without secrets. Distinguish network access needed to fetch dependencies from network access during tests.

Establish a baseline

Record the OS, CPU, language version, commit SHA, command, and exit code. Compare in this order: the smallest relevant test before the change, a small change, and the same test afterward. Classify failures separately as missing environment requirements, dependency differences, unavailable external services, or implementation failures.

State explicitly when nothing has been run

This material presents practice procedures; it does not mean that builds or tests have been run. For Codex, consult install.md at the same commit; for the CLI, consult its development guide; for MLflow, consult CONTRIBUTING. Exclude integration tests that require tokens, clusters, or paid APIs from the introductory course.

Practical exercise: Practice building safely and passing one test

1. Record the commit SHA and environment.
2. Choose the smallest local test from the official guide.
3. Check whether network access or secrets are required.
4. Run it in an isolated environment you have authorized, and save the exit code. If that environment is unavailable, mark it as not run.

Deliverable: Reproduction steps and results, or the reason the procedure was not run

Understanding checks

Answer in your own words before reading the answers. The answers and explanations below are for self-review, not automatic scores or execution results.

Does including an example command mean its execution has been verified?

Answer: No. You need the execution environment, commit SHA, command, exit code, and a summary of the logs.

Your learning progress

Recording mode: manual.

• Not started
• Read
• Tried
• Can explain

Do not mark an exercise as practiced merely because you viewed it.

Material used in this chapter

Codex build guide, databricks/cli contribution and development guide, mlflow/mlflow contribution and development guide, databricks/databricks-sdk-py contribution and development guide

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